Claidex MCP Capabilities
claidex_capabilitiesReturn the Claidex MCP feature map, configured storage/model providers, safety controls, resources, prompts, and tool counts.
Input Schema
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
claidex_capabilitiesReturn the Claidex MCP feature map, configured storage/model providers, safety controls, resources, prompts, and tool counts.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
No annotations are provided, so the description carries full burden. The verb 'Return' implies a read-only operation, but the description does not explicitly state that it has no side effects, nor does it disclose any configuration dependencies or potential error conditions. It adds context about the result content but nothing about operational behavior.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single sentence that front-loads the verb 'Return' and lists the specific content categories concisely. There is no wasted wording or irrelevant detail.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
For a simple parameterless tool, the description adequately names all major output categories (feature map, providers, safety controls, resources, prompts, tool counts). However, it does not define the structure of the feature map or what a 'tool count' entails, and there is no output schema to compensate; still, it gives a clear enough picture for the agent to know what it will get.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
This tool has zero parameters, so the input schema is complete by definition. The description does not need to elaborate on parameter meanings, and it doesn't; this meets the baseline for a parameterless tool.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description uses the specific verb 'Return' and identifies the exact resource: the Claidex MCP feature map including providers, safety controls, resources, prompts, and tool counts. This clearly distinguishes it from sibling tools like claidex_tool_catalog, which likely list individual tools rather than overall capabilities.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
No guidance is provided for when to use this tool versus alternative Claidex tools. For example, there is no mention of using this to discover capabilities before invoking other tools, nor any distinction from claidex_tool_catalog. This leaves the agent to infer usage from the name alone.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Add one secure layer between your agents and this server.
Several tools have overlapping responsibilities: search, search_claims, search_preprint_flags, and claidex_claim_risk_matrix all query claim/failure data, while rank_documents_by_embedding and rerank_documents both perform relevance ranking. The compatibility-oriented fetch/search tools add further confusion because their names collide with fetch_research_url and search_claims.
Names are grouped by prefixes (claidex_, query_, search_, run_) but the groups use different conventions, and bare verbs like 'fetch' and 'search' sit alongside prefixed forms like 'fetch_research_url' and 'search_claims'. The pattern is readable but not uniform.
24 tools is at the heavy end for an MCP server; while the breadth reflects many biomedical data sources and utilities, the count includes several meta/compatibility tools that could be consolidated. It is borderline but not unreasonable.
The surface covers the core biomedical workflows: searching claims, retrieving full claim content, querying failure graphs, checking preprints, and looking up drugs/trials/targets/adverse events. Minor gaps exist, such as no direct way to fetch a single clinical trial by ID beyond the search function, and no write/update operations for claims, but these are likely outside the read-only research scope.